260312 VO+UE Scientific Computing (programming languages and tools, basic algorithms) (2008S)

4.00 ECTS (3.00 SWS), SPL 26 - Physik

Details

max. 20 participants

Language: German

Examination dates

Lecturers

Classes (iCal) - next class is marked with N

Friday 07.03. 13:00 - 15:15 Kurt-Gödel-Hörsaal, Boltzmanngasse 5, EG, 1090 Wien
Friday 14.03. 13:00 - 15:15 Kurt-Gödel-Hörsaal, Boltzmanngasse 5, EG, 1090 Wien
Friday 21.03. 13:00 - 15:15 Kurt-Gödel-Hörsaal, Boltzmanngasse 5, EG, 1090 Wien
Friday 28.03. 13:00 - 15:15 Kurt-Gödel-Hörsaal, Boltzmanngasse 5, EG, 1090 Wien
Friday 04.04. 13:00 - 15:15 Kurt-Gödel-Hörsaal, Boltzmanngasse 5, EG, 1090 Wien
Friday 11.04. 13:00 - 15:15 Kurt-Gödel-Hörsaal, Boltzmanngasse 5, EG, 1090 Wien
Friday 18.04. 13:00 - 15:15 Kurt-Gödel-Hörsaal, Boltzmanngasse 5, EG, 1090 Wien
Friday 25.04. 13:00 - 15:15 Kurt-Gödel-Hörsaal, Boltzmanngasse 5, EG, 1090 Wien
Friday 02.05. 13:00 - 15:15 Kurt-Gödel-Hörsaal, Boltzmanngasse 5, EG, 1090 Wien
Friday 09.05. 13:00 - 15:15 Kurt-Gödel-Hörsaal, Boltzmanngasse 5, EG, 1090 Wien
Friday 16.05. 13:00 - 15:15 Kurt-Gödel-Hörsaal, Boltzmanngasse 5, EG, 1090 Wien
Friday 23.05. 13:00 - 15:15 Kurt-Gödel-Hörsaal, Boltzmanngasse 5, EG, 1090 Wien
Friday 30.05. 13:00 - 15:15 Kurt-Gödel-Hörsaal, Boltzmanngasse 5, EG, 1090 Wien
Friday 06.06. 13:00 - 15:15 Kurt-Gödel-Hörsaal, Boltzmanngasse 5, EG, 1090 Wien
Friday 13.06. 13:00 - 15:15 Kurt-Gödel-Hörsaal, Boltzmanngasse 5, EG, 1090 Wien
Friday 20.06. 13:00 - 15:15 Kurt-Gödel-Hörsaal, Boltzmanngasse 5, EG, 1090 Wien
Friday 27.06. 13:00 - 15:15 Kurt-Gödel-Hörsaal, Boltzmanngasse 5, EG, 1090 Wien

Information

Aims, contents and method of the course

"Scientific computing" is a scientific discipline in its own right, dealing with all aspects of the computer-based numerical, modeling, and simulation methods common to the various sub-fields of the natural sciences. However, also for the non-specialist, a basic knowledge of computational methods, and the ability to put them to meaningful use, are nowadays considered integral parts of a general scientific education.
Designed for second year students of scientific or medical/technical disciplines, this course offers a selection of the most basic numerical methods and introduces the tools necessary to implement the algorithms in software, analyze the results, and present them in graphical form - the typical steps required when preparing a lab report or writing up a diploma thesis.
The course is PC/Unix (Linux) oriented and largely based on public domain software. Topics covered are
* operating system
* programming languages
* scripting languages
* graphical representation
* scientific text processing
as well as numerical methods including
* numerical integration
* ordinary differential equations
* (simple) partial differential equations
* linear equations
* non-linear equations
* Fourier analysis
* curve fitting
* Monte Carlo methods
* simulation

Assessment and permitted materials

Minimum requirements and assessment criteria

Understanding of the course.

Examination topics

Corresponding to the type of the course

Reading list

Skriptum: http://www.exp.univie.ac.at/sc/

Association in the course directory

PD250

Last modified: Mo 07.09.2020 15:41